We will tackle the practical problem of hand pose estimation from a single noisy depth image. A dedicated three-step pipeline will be used: Initial estimation step provides an initial estimation of the hand in-plane orientation and 3D location; Candidate generation step produces a set of 3D pose candidate from the Hough voting space with the help of the rotational invariant depth features; Verification step delivers the final 3D hand pose as the solution to an optimization problem.
Project Goal:
In this project we will develop and implement an application.
